Frequently Asked Questions

You absolutely can! Official MCP servers from companies like GitHub exist and work great. However, building a complete solution involves much more than just the servers:

• Infrastructure: Setting up secure hosting, monitoring, logging, and backup systems
• Integration work: Connecting multiple servers, handling authentication, managing configurations
• Ongoing maintenance: Updates, security patches, troubleshooting, scaling
• User management: Team permissions, audit trails, compliance requirements

Our platform handles all of this complexity, letting you focus on using AI rather than managing infrastructure. Most teams find they save 3-6 months of development time and ongoing operational overhead.

We don't replace official servers—we make them easier to use! When GitHub or Zendesk releases an official MCP server, we:

• Host and manage it: No need to set up your own infrastructure
• Integrate seamlessly: Connect it with your other tools and AI assistants
• Add enterprise features: Team management, audit logs, compliance controls
• Provide ongoing support: Updates, monitoring, and troubleshooting

Think of us as the "cloud platform" for MCP servers—just like how you could run your own web servers but often choose AWS or Vercel instead.

Most teams save money overall:

• Developer time: 3-6 months of engineering work = $30,000-$120,000 in salary costs
• Infrastructure costs: Hosting, monitoring, security tools add up to $200-$500/month
• Ongoing maintenance: 10-20% of developer time for updates and troubleshooting
• Opportunity cost: Time spent on infrastructure instead of core product features

Our platform typically pays for itself within the first month for most teams, and the time savings are immediate.

DIY makes sense if you:

• Have significant infrastructure engineering expertise in-house
• Need highly customized server behavior that can't be configured
• Have strict data locality requirements that prevent cloud hosting
• Are building MCP servers as your core product offering

For most teams integrating AI into existing workflows, our platform provides better value through faster deployment and reduced operational overhead.

The MCP Platform is a service that lets you connect AI assistants (like Claude or ChatGPT) to business tools like GitHub, Slack, or Salesforce in minutes with one-click templates. It simplifies AI integration, saving you time and money compared to months of custom coding.

MCP is a standard way for AIs to talk to business tools, like a universal plug. You don't need to understand it—the MCP Platform handles everything for you behind the scenes.

Anyone! Small businesses, AI startups, large enterprises, and consultancies can use it to add AI to their tools without technical expertise. Our platform serves both technical and non-technical users.

Yes, we use enterprise-grade security with end-to-end encryption, SOC2 compliance, GDPR compliance, and audit logs. Enterprise plans include additional security controls like SSO and on-premise deployment.

Sign up, pick a template (e.g., GitHub, Slack, Salesforce), deploy it in ~2 minutes, and connect your AI using our dashboard. No coding needed! Our guided setup walks you through everything.

Templates are pre-built connectors for tools like Slack, Salesforce, or GitHub. Choose one, click to deploy, and your AI can use it instantly. Each template creates a secure endpoint for your AI.

An endpoint is a secure link (like a URL) that lets your AI talk to a tool like GitHub or Slack. The MCP Platform sets it up for you, and your AI uses it to read data or take actions.

No! Our dashboard makes setup easy for non-technical users, and we offer support for complex needs. Most integrations are deployed with just a few clicks.

MCP Platform is LLM agnostic and works with ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google), Llama (Meta), Azure OpenAI, AWS Bedrock models, and custom AI applications. You can switch between LLMs or use multiple LLMs simultaneously.

We support popular AIs like Claude and ChatGPT. Our team can recommend MCP-compatible AIs or help set one up for your specific needs.

Paste the endpoint URL into your AI's settings (guided by our dashboard). Your AI can then read data (e.g., GitHub repos) or send actions (e.g., create issues) through it.

The GitHub MCP Server is an open-source tool that requires technical setup. MCP Platform offers one-click setup for GitHub and other tools, manages hosting, security, and updates, and supports non-technical users.

GitHub, Slack, Salesforce, Google Workspace, Zendesk, and many more business tools, with new templates added regularly through our marketplace.

Most integrations (e.g., GitHub + Slack) take ~7 minutes, compared to 6–12 months for custom development. Deploy enterprise-grade AI integrations in minutes, not months.

Yes, our cloud infrastructure auto-scales, supports unlimited AI Actions (Enterprise tier), and ensures >99.9% uptime for startups to Fortune 1000 companies.

It lets your AI automate tasks like answering support tickets, analyzing code reviews, tracking sales deals, or managing projects, all in minutes instead of months. Save time, cut costs, and stay competitive.

Start with our free tier (5 MCP servers, 1,000 AI Actions/month), upgrade to Pro ($49/month) for unlimited templates, or choose Enterprise ($299+/month) for advanced features. Check our pricing page for details.

AI Actions represent every task your AI assistant performs through MCP Platform. Examples include: reading a GitHub repository, updating a CRM record, sending a Slack message, or querying a database. Each automated task counts as one AI Action.

Yes! Annual billing provides a 20% discount on all paid plans. You'll pay for 10 months and get 12 months of service.

Our Enterprise tier offers custom template development and professional services to build integrations for your unique tools. We also have a template marketplace for specialized needs.

Use our community forums (free tier), priority email support (Pro tier), or 24/7 phone support with dedicated account manager (Enterprise tier).

It's like an app store where developers create and sell templates for new tools. Browse, deploy, or even create your own to earn revenue.

On-premise deployment is available for Enterprise plans. This allows you to run MCP Platform in your own infrastructure for maximum security and control.